Dynamic configuration method and system for load shedding capacity of wind power plant
By dynamically assessing the active power support capacity of wind farms in real time and coordinating and optimizing overspeed and pitch angle control, the system achieves refined and dynamic configuration of wind farm load shedding capacity, solving the problem of imperfect configuration of unit load shedding capacity within wind farms and improving the frequency regulation response performance and reserve capacity utilization efficiency of wind farms.
Patent Information
- Application Number
- CN202511872114.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-12
- Publication Date
- 2026-03-17
AI Technical Summary
In existing technologies, the configuration of load shedding capacity of wind turbines in wind farms lacks dynamic adaptability, making it impossible to accurately assess the actual active power support capacity of each turbine, resulting in wasted or insufficient reserve capacity. Furthermore, the overspeed and pitch angle load shedding control methods are not optimized in a coordinated manner, affecting the frequency regulation response efficiency of wind farms.
By dynamically assessing the active power support capacity of wind farms in real time, collaboratively exploring the potential of overspeed control and pitch angle control, and allocating load reduction capacity in a differentiated manner, the assessment results are dynamically updated in conjunction with wind speed changes, thereby achieving refined and dynamic capacity allocation.
It improves the frequency regulation response performance and reserve capacity utilization efficiency of wind farms, ensures the precise execution of load shedding control, takes into account both the safety of wind turbine operation and the timeliness of response, and solves the configuration problem of unit differences and dynamic wind conditions within wind farms.
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Figure CN121689313A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field related to wind farm dynamic configuration, and particularly relates to a wind farm load shedding capacity dynamic configuration method and system. BACKGROUND
[0002] The statements in this section merely provide background information related to the present application and do not necessarily constitute prior art.
[0003] As a core utilization form of clean and renewable energy, the penetration rate of wind power generation in the power system continues to rise. The expansion of wind power installation capacity gradually compresses the grid-connection space of traditional synchronous generators, making the frequency stability problem of the power system increasingly prominent, which becomes a key bottleneck restricting the safe and stable operation of high-proportion wind power grid-connected power systems.
[0004] Traditional synchronous generators can spontaneously respond to fluctuations in system frequency through rigid coupling of the rotor and the grid frequency, providing natural frequency support for the system. However, the current mainstream wind turbines generally use power electronic converters to achieve grid connection, which leads to complete decoupling of the rotor speed and the system frequency, losing the ability to spontaneously participate in system frequency regulation. At the same time, to maximize wind energy capture efficiency, wind turbines are usually operated in maximum power point tracking (MPPT) control mode, in which the power generation of the wind turbine has approached its theoretical maximum output value. Except for the limited kinetic energy stored in the rotor, there is no additional adjustable active reserve capacity to provide effective power support for system frequency disturbances.
[0005] To compensate for the frequency regulation capability of wind turbines, existing methods reserve frequency regulation reserve capacity by adjusting the operating point of the wind turbine and reducing load in advance. The current mainstream load shedding control strategies mainly include overspeed load shedding control and pitch angle load shedding control. Overspeed load shedding control raises the rotor speed to reserve capacity by utilizing the kinetic energy reserve of the rotor. Pitch angle load shedding control adjusts the blade pitch angle to reduce wind energy capture efficiency to form power margin.
[0006] However, existing technology research focuses on optimizing load shedding control algorithms for individual wind turbines, and there are still significant deficiencies in the overall configuration and distribution of load shedding reserve capacity at the wind farm station level. In current engineering practice and existing technology, the distribution of load shedding capacity in wind farms generally adopts a static configuration mode of uniform load shedding rate, i.e., setting the same load shedding proportion for all units participating in frequency regulation in the wind farm. This method has the following defects: 1. Due to the different locations of the wind turbines in the wind farm, there are significant spatial differences in the incoming wind speed. This leads to natural differences in the theoretical load shedding reserve capacity of different turbines. The uniform load shedding rate cannot accurately assess the actual active power support capacity of each turbine, which can easily cause an imbalance where some turbines have wasted reserve capacity and others have insufficient reserve capacity. 2. Natural wind conditions are highly random and fluctuating. The load reduction capacity of the units will change dynamically with the real-time wind speed. The existing static allocation mode cannot update the available load reduction capacity assessment results of each unit in real time according to the changes in wind conditions, making it difficult to guarantee the dynamic adaptability of the standby capacity. 3. The technical characteristics and applicable scenarios of overspeed load reduction and pitch angle load reduction are different. The former has a fast response speed but limited reserve capacity, while the latter has a large reserve capacity potential but higher mechanical losses. Existing methods do not comprehensively evaluate and coordinate the load reduction capabilities of the two control methods. 4. A uniform static load reduction strategy can cause some units to suffer unnecessary mechanical wear and structural stress. At the same time, because it fails to fully explore the actual load reduction potential of each unit and does not give full play to the synergistic effect of the two control methods, it reduces the timeliness and accuracy of the overall frequency regulation response of the wind farm and results in low utilization efficiency of reserve capacity, which seriously restricts the comprehensive benefits of the wind farm participating in system frequency regulation.
[0007] In summary, how to construct a site-level load shedding reserve capacity optimization configuration method that can adapt to the differences in units, dynamic wind conditions, and coordinated control methods within a wind farm has become an urgent technical challenge to be solved in order to improve the frequency stability of high-proportion wind power grid-connected systems and achieve efficient utilization of wind farm frequency regulation reserve capacity. Summary of the Invention
[0008] To overcome the shortcomings of the prior art, this invention provides a method and system for dynamic configuration of wind farm load shedding capacity. By dynamically evaluating the active power support capacity of the wind farm in real time and collaboratively exploring the potential of two control methods, namely overspeed control and pitch angle control, it achieves refined and dynamic capacity allocation, thereby improving the frequency regulation response performance and reserve capacity utilization efficiency of the wind farm.
[0009] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for dynamically configuring wind farm load shedding capacity, comprising: Based on the real-time wind speed of each unit, the maximum achievable load reduction capacity of the wind turbine overspeed control and the maximum supplementary load reduction capacity of the pitch angle control are dynamically updated to determine the reserve capacity that the wind farm can provide when relying solely on overspeed control, as well as the reserve capacity that the wind farm can provide when relying solely on overspeed and pitch angle control. Based on the required reserve capacity, and comparing the reserve capacity that the wind farm can provide by relying solely on overspeed control with the reserve capacity that the wind farm can provide by relying on both overspeed and pitch angle control, the control mode adopted by each unit to meet the required reserve capacity is determined, and then the load reduction capacity of each unit, as well as the reference values for speed and pitch angle, are determined.
[0010] Furthermore, the determination of the maximum achievable load reduction capacity for overspeed control is as follows: ; in, ω rmax This is the safe upper limit for rotational speed; p Indicates air density; R Indicates the radius of the wind turbine blades; A This indicates the swept area of the fan blades; v Indicates wind speed; ω r Indicates the fan speed; C pmax Indicates the maximum wind energy utilization factor; C p This represents the wind energy utilization coefficient.
[0011] Furthermore, the determination of the maximum supplementary load reduction capacity for pitch angle control is as follows: ; in, ω rmax This is the safe upper limit for rotational speed; p Indicates air density; R Indicates the radius of the wind turbine blades; A This indicates the swept area of the fan blades; v Indicates wind speed; ω r Indicates the fan speed; C pmax Indicates the maximum wind energy utilization factor; C p Indicates the wind energy utilization coefficient; β max This represents the maximum value of the pitch angle.
[0012] Furthermore, if the required reserve capacity is less than the reserve capacity that the wind farm can provide solely through overspeed control, then each unit can meet the required reserve capacity solely through overspeed control, and the allocation of load shedding capacity for each unit is as follows: ; in, For the required reserve capacity; n 1 indicates the number of units that should adopt load reduction control; This represents the maximum achievable load reduction capacity for overspeed control of the i-th wind turbine unit.
[0013] Furthermore, if the required reserve capacity is less than the reserve capacity that the wind farm can provide relying solely on overspeed control, then the reference values for the pitch angle of each unit... β ref =0°; Reference speed values for each unit ω ref for: ; ω ref n1 Solving the following equation, we get: ; in, ω ropt Wind speed v Under these conditions, the optimal tip speed ratio l opt The corresponding rotational speed; A This indicates the swept area of the fan blades; v Indicates wind speed; ω r Indicates the fan speed; C pmax Indicates the maximum wind energy utilization factor; p Indicates air density; C p Indicates the wind energy utilization coefficient; n 1 indicates the number of units that should adopt load reduction control; For the required reserve capacity; This represents the maximum achievable load reduction capacity for overspeed control of the i-th wind turbine unit.
[0014] Furthermore, if the required reserve capacity is not less than the reserve capacity that the wind farm can provide relying solely on overspeed control, and not greater than the reserve capacity that the wind farm can provide relying solely on overspeed and pitch angle control, the allocation of load shedding capacity for each unit is as follows: ; in, n -( n 2-1) indicates the number of units that should use pitch angle control; For the required reserve capacity; This represents the maximum achievable load reduction capacity of the i-th wind turbine unit under overspeed control. This refers to the backup capacity that a wind farm can provide when relying solely on overspeed control. This represents the maximum supplementary load reduction capacity controlled by the pitch angle of the i-th wind turbine; n is the total number of wind turbines.
[0015] Furthermore, if the required reserve capacity is not less than the reserve capacity that the wind farm can provide relying solely on overspeed control, and not greater than the reserve capacity that the wind farm can provide relying solely on overspeed and pitch angle control, the reference values for the rotational speed of each unit should be... ω ref = ω max Reference values for pitch angle of each unit β ref for: ; β ref n2 Solving the following equation, we get: ; in, This refers to the backup capacity that a wind farm can provide when relying solely on overspeed control. This represents the maximum supplementary load reduction capacity controlled by the pitch angle of the i-th wind turbine; n is the total number of wind turbines. A This indicates the swept area of the fan blades; v Indicates wind speed; ω r Indicates the fan speed; C pmax Indicates the maximum wind energy utilization factor; p Indicates air density; C p Indicates the wind energy utilization coefficient; n 1 indicates the number of units that should adopt load reduction control; For the required reserve capacity; ω rmax This is the safe upper limit for rotational speed.
[0016] Secondly, the present invention provides a dynamic configuration system for wind farm load shedding capacity, comprising: The dynamic update module is configured to: dynamically update the maximum achievable load reduction capacity of the wind turbine overspeed control and the maximum supplementary load reduction capacity of the pitch angle control based on the real-time wind speed of each unit, determine the reserve capacity that the wind farm can provide when relying solely on overspeed control, and the reserve capacity that the wind farm can provide when relying solely on overspeed and pitch angle control. The dynamic configuration module is configured to: determine the control mode adopted by each unit to meet the required reserve capacity based on the comparison results between the reserve capacity that the wind farm can provide when relying solely on overspeed control and the reserve capacity that the wind farm can provide when relying solely on overspeed and pitch angle control; and further determine the load reduction capacity of each unit, as well as the reference values for speed and pitch angle.
[0017] Thirdly, the present invention provides an electronic device including a memory and a processor, and computer instructions stored in the memory and running on the processor, wherein the computer instructions, when executed by the processor, perform the method described in the first aspect.
[0018] Fourthly, the present invention provides a computer-readable storage medium for storing computer instructions, which, when executed by a processor, perform the method described in the first aspect.
[0019] The above one or more technical solutions have the following beneficial effects: In this invention, the maximum achievable load reduction capacity of overspeed control and the maximum supplementary load reduction capacity of pitch angle control are comprehensively considered. The load reduction capabilities of the two control methods are evaluated as a whole to maximize the active power support potential of the wind farm. Based on the results of the active power support capacity of the wind farm and combined with the required reserve capacity, the load reduction capacity of each unit is allocated in a differentiated manner, along with the reference values of the rotational speed and pitch angle of each unit, to ensure precise execution of load reduction control and to balance the safety of wind turbine operation with the timeliness of load reduction response.
[0020] In this invention, if the required reserve capacity is less than the reserve capacity that the wind farm can provide by relying solely on overspeed control, then each unit can meet the required reserve capacity by relying solely on overspeed control, thereby determining the size of the load reduction capacity allocation for each unit. If the required reserve capacity is not less than the reserve capacity that the wind farm can provide by relying solely on overspeed control, and not greater than the reserve capacity that the wind farm can provide by relying solely on overspeed and pitch angle control, then some units should adopt overspeed and pitch angle control to meet the requirements, thereby determining the size of the load reduction capacity allocation for each unit, avoiding unnecessary wear and tear on wind turbines caused by the "one-size-fits-all" approach, and improving the overall reserve capacity utilization efficiency of the wind farm.
[0021] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description
[0022] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.
[0023] Figure 1 This is a flowchart of the dynamic configuration method for wind farm load reduction capacity in Embodiment 1 of the present invention. Detailed Implementation
[0024] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.
[0025] It should be noted that the terminology used herein is for the purpose of describing particular implementations only and is not intended to limit the exemplary implementations of the present invention.
[0026] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.
[0027] Example 1 This embodiment discloses a method for dynamically configuring wind farm load shedding capacity, including: Based on the real-time wind speed of each unit, the maximum achievable load reduction capacity of the wind turbine overspeed control and the maximum supplementary load reduction capacity of the pitch angle control are dynamically updated to determine the reserve capacity that the wind farm can provide when relying solely on overspeed control, as well as the reserve capacity that the wind farm can provide when relying solely on overspeed and pitch angle control. Based on the required reserve capacity, and comparing the reserve capacity that the wind farm can provide by relying solely on overspeed control with the reserve capacity that the wind farm can provide by relying on both overspeed and pitch angle control, the control mode adopted by each unit to meet the required reserve capacity is determined, and then the load reduction capacity of each unit, as well as the reference values for speed and pitch angle, are determined.
[0028] This embodiment comprehensively considers the maximum achievable load reduction capacity of overspeed control and the maximum supplementary load reduction capacity of pitch angle control, and evaluates the load reduction capabilities of the two control methods as a whole to maximize the active power support potential of the wind farm. Based on the results of the active power support capacity of the wind farm and combined with the required reserve capacity, the load reduction capacity of each unit is allocated differently, as well as the speed reference value and pitch angle reference value of each unit, to ensure precise execution of load reduction control and balance the safety of wind turbine operation with timely load reduction response.
[0029] This embodiment presents a dynamic configuration method for wind farm load shedding capacity. Its core breakthroughs lie in three aspects: First, establishing a dynamic evaluation mechanism that fully considers factors such as real-time wind speed fluctuations and differences in the location of each turbine. It records in real-time the load shedding reserve capacity boundaries that each turbine and the entire wind farm can provide when using both overspeed control and pitch angle control, forming a real-time evaluation result of the wind farm's available active power support capacity. This result is continuously updated with wind speed changes to ensure a high degree of match between the evaluation result and actual operating conditions. Second, based on the above dynamic evaluation results and combined with the system's reserve capacity requirements for the wind farm, the load shedding capacity of each turbine is allocated differentially. Third, comprehensively exploring the synergistic load shedding potential of overspeed control and pitch angle control, the achievable load shedding capacity of the two control methods is evaluated as a whole, overcoming the limitations of existing methods that rely solely on one control method or simple superposition, and maximizing the active power support capacity of the wind farm. Through the above design, the problem of imperfect load shedding configuration at the wind farm level is ultimately solved, achieving refined and dynamic load shedding capacity configuration.
[0030] The following is combined with Figure 1 This embodiment provides a detailed explanation of a dynamic configuration method for wind farm load shedding capacity. The wind power captured by a wind turbine can be expressed by the following formula: (1) (2) (3) (4) In the formula, P m This indicates the wind power captured by the wind turbine. p Indicates air density; R Indicates the radius of the wind turbine blades; A This indicates the swept area of the fan blades; v Indicates wind speed; ω r Indicates the fan speed; l Indicates the tip speed ratio; β Indicates the blade pitch angle; C p ( l , β () represents the wind energy utilization coefficient.
[0031] Wind energy utilization coefficient C p ( l , β (This refers to the tip speed ratio) l and propeller pitch angle β The comprehensive function can be approximated by equation (3), which varies with the pitch angle. β The increase,C p ( l , β The curve will shrink significantly; if the pitch angle β =0°, at which point there exists a unique possible value. C p The tip speed ratio that reaches its maximum value is called the optimal tip speed ratio. l opt Its corresponding C p Maximum wind energy utilization coefficient C pmax .
[0032] Wind turbines typically operate in Maximum Power Point Tracking (MPPT) mode, i.e., at the pitch angle. β =0°, tip speed ratio l = l opt In wind speed v Under fixed conditions, the wind power captured by the wind turbine at this time is P m This is the maximum value under this wind speed condition.
[0033] According to equation (1), at wind speed v With the pitch angle fixed, it can be adjusted. β Tip speed ratio l The size of makes C p ( l , β This reduces the amount of wind power captured by the wind turbine, thus reducing the wind power captured by the wind turbine. P m This is done to reduce load and obtain spare capacity.
[0034] Depending on the control method, load reduction can be divided into pitch angle control and overspeed control. Pitch angle control reduces the captured wind power by increasing the pitch angle, thus achieving load reduction control across the entire wind speed range. However, this method has a slow response time, and the frequent operation of the pitch mechanism exacerbates mechanical wear, shortens equipment life, and increases operating costs. Overspeed control reduces the captured wind power by increasing the rotational speed to deviate from the MPPT operating point, thus achieving load reduction. It has a fast response time, but there is an upper limit to the rotational speed, typically 1.2 pu. Once the rotational speed reaches this limit, further increases in rotational speed cannot achieve load reduction. Therefore, this method cannot achieve load reduction control across the entire wind speed range. Thus, this embodiment prioritizes overspeed control.
[0035] The maximum achievable load reduction capacity of overspeed control: The difference between the minimum wind power achievable after adopting overspeed control and the power at the MPPT point is defined as the maximum achievable load reduction capacity of overspeed control, and the mathematical description is as follows: (5) In the formula, l rmax The safe upper limit for rotational speed is generally 1.2 pu; ω Indicates air density; R Indicates the radius of the wind turbine blades; A This indicates the swept area of the fan blades; v Indicates wind speed; C pmax This represents the maximum wind energy utilization coefficient.
[0036] Maximum supplementary load reduction capacity controlled by pitch angle: If the required reserve capacity from the dispatch center for wind farms still cannot be met, pitch angle control will be activated. Based on overspeed control, the maximum load reduction capacity achievable using pitch angle control is defined as the maximum supplementary load reduction capacity under pitch angle control, and its mathematical description is as follows: (6) In the formula, β max This is the maximum value of the pitch angle. Within the MPPT wind speed range, considering both wind energy utilization and the system frequency regulation requirements for wind farm reserve capacity, it is generally set to 5°. p Indicates air density; R Indicates the radius of the wind turbine blades; A This indicates the swept area of the fan blades; v Indicates wind speed; C pmax This represents the maximum wind energy utilization coefficient.
[0037] The sum of equations (5) and (6) is the reserve capacity that the wind farm can provide.
[0038] Wind farm load shedding capacity configuration method: First, determine the reserve capacity that the wind farm can provide. The reserve capacity that can be provided using only overspeed control is determined according to equation (5), and the reserve capacity that can be provided using both overspeed and pitch angle control is determined according to equations (5) and (6), respectively. The mathematical descriptions are as follows: (7) (8) In the formula, n This represents the total number of wind turbine units in the wind farm. iEach unit is numbered and sorted from lowest to highest wind speed based on its location. (The real-time wind speed of each unit is also considered.) v i Continuous change By updating the assessment results in real time, the current maximum active power support capacity of the wind farm can be dynamically reflected.
[0039] Secondly, determine the required backup capacity Δ that the dispatch center should provide to the wind farm. P require The size. First, the real-time dynamic assessment of the active power support capacity of the wind farm is completed through the above equations (5)-(8), and the result is obtained. Secondly, compare the required backup capacity with the system requirements. Based on the relationship between the size of the first two factors, the load reduction capacity of each unit is allocated differently: (1) If If each unit can meet the requirements solely through overspeed control, the load reduction capacity allocation for each unit can be determined using the following formula: (9) In the formula, n 1 indicates the number of units that should adopt load reduction control.
[0040] The amount of standby capacity that each unit can provide through overspeed control It is known that, according to the dispatch center's requirements for the reserve capacity that wind farms should provide, Δ P require Size, current ( n 1-1) The sum of the maximum available backup capacity of the 1-unit generators is insufficient to meet the requirements, while the previous n When the sum of the maximum available reserve capacity of a single generating unit can meet the demand, the number of generating units that should adopt load shedding control can be determined as follows: n 1.
[0041] (2) If Therefore, some units should adopt overspeed and pitch angle control to meet the requirements. The size of the load reduction capacity allocation for each unit can be determined according to the following formula: (10) In the formula, n -( n 2-1) indicates the number of units that should be controlled by pitch angle.
[0042] Finally, the reference speed values for each unit were determined. p ref and pitch angle reference value β ref .
[0043] (1) If If the pitch angle control of each unit has not yet been activated, the pitch angle reference value is as follows. β ref =0°, the reference speed value of each unit can be determined according to the following formula. ω ref : (11) In the formula, ω ropt Wind speed v Under these conditions, the optimal tip speed ratio ω opt The corresponding rotational speed, i.e., the optimal rotational speed. l ref n1 It can be solved by the following equation.
[0044] (12) (2) If Then the reference speed values of each unit ω ref = ω max The reference value of the pitch angle for each unit can be determined according to the following formula. β ref : (13) β ref n2 It can be solved by the following equation.
[0045] (14) The logic block diagram of the method in this embodiment is as follows: ω As shown: Input parameters: Real-time wind speed of each unit v air density Figure 1 Fan blade radius R Sweeped area of fan blades A Maximum safe rotation speed p rmax Maximum pitch angle β max The system's required standby capacity Δ P require ; Output results: Load reduction capacity ΔPi, reference speed ωref, and reference pitch angle β for each unit. ref .
[0046] This embodiment establishes a real-time dynamic evaluation mechanism for the active power support capacity of wind farms. By tracking the real-time wind speed of each turbine, it continuously updates the evaluation results of overspeed control and pitch angle control load reduction capabilities for individual turbines and the wind farm as a whole, achieving dynamic capability evaluation synchronized with wind condition changes. The dynamic evaluation mechanism comprehensively considers the maximum achievable load reduction capacity of overspeed control and the maximum supplementary load reduction capacity of pitch angle control, evaluating the load reduction capabilities of the two control methods as a whole to maximize the active power support potential of the wind farm. Based on the active power support capacity results of the wind farm obtained from the dynamic evaluation, combined with the system's required reserve capacity Δ P require The system differentiates the load reduction capacity of each unit to achieve a complete "evaluation-configuration" control logic; based on the load reduction capacity allocation results, it dynamically determines the reference speed value of each unit. ω ω ref The reference value βref of the pitch angle ensures precise execution of load reduction control, balancing the safety of wind turbine operation with timely load reduction response.
[0047] This embodiment addresses the key deficiency of existing methods in "lack of dynamic evaluation": by tracking wind speed changes of each unit in real time, it continuously updates the assessment results of the wind farm's active power support capacity, ensuring that the load reduction configuration is highly matched with actual operating conditions and avoiding capacity waste or insufficiency caused by static configuration; it overcomes the limitations of existing methods' "single control mode": by comprehensively evaluating the synergistic load reduction potential of overspeed control and pitch angle control, it maximizes the wind farm's active power support capacity and improves the reliability of the system's frequency regulation response; it achieves refined configuration at the farm level: by allocating load reduction capacity differentially based on dynamic evaluation results, it avoids unnecessary wear and tear on wind turbines caused by a "one-size-fits-all" approach, while improving the overall reserve capacity utilization efficiency of the wind farm; and it forms a complete control logic to ensure the real-time, accurate, and feasible nature of load reduction capacity configuration, providing strong support for system frequency security under high wind power penetration.
[0048] Example 2 The purpose of this embodiment is to provide a dynamic configuration system for wind farm load shedding capacity, including: The dynamic update module is configured to: dynamically update the maximum achievable load reduction capacity of the wind turbine overspeed control and the maximum supplementary load reduction capacity of the pitch angle control based on the real-time wind speed of each unit, determine the reserve capacity that the wind farm can provide when relying solely on overspeed control, and the reserve capacity that the wind farm can provide when relying solely on overspeed and pitch angle control. The dynamic configuration module is configured to: determine the control mode adopted by each unit to meet the required reserve capacity based on the comparison results between the reserve capacity that the wind farm can provide when relying solely on overspeed control and the reserve capacity that the wind farm can provide when relying solely on overspeed and pitch angle control; and further determine the load reduction capacity of each unit, as well as the reference values for speed and pitch angle.
[0049] In further embodiments, the following is also provided: An electronic device includes a memory and a processor, as well as computer instructions stored in the memory and running on the processor. When executed by the processor, the computer instructions perform the method described in Embodiment 1. For brevity, further details are omitted here.
[0050] It should be understood that in this embodiment, the processor can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc.
[0051] Memory may include read-only memory and random access memory, and provides instructions and data to the processor. A portion of memory may also include non-volatile random access memory. For example, memory may also store information about the device type.
[0052] A computer-readable storage medium for storing computer instructions, which, when executed by a processor, perform the method described in Embodiment 1.
[0053] The method in Embodiment 1 can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor. The software modules can reside in readily available storage media in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory; the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method. To avoid repetition, a detailed description is not provided here.
[0054] A computer program product includes a computer program that, when executed by a processor, implements the method described in Embodiment 1.
[0055] The present invention also provides at least one computer program product tangibly stored on a non-transitory computer-readable storage medium. The computer program product includes computer-executable instructions, such as instructions included in program modules, which execute in a device on a target real or virtual processor to perform the processes / methods described above. Typically, program modules include routines, programs, libraries, objects, classes, components, data structures, etc., that perform specific tasks or implement specific abstract data types. In various embodiments, the functionality of program modules can be combined or divided among program modules as needed. The machine-executable instructions for the program modules can execute within a local or distributed device. In a distributed device, the program modules can reside in both local and remote storage media.
[0056] The computer program code used to implement the methods of the present invention may be written in one or more programming languages. This computer program code may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the computer or other programmable data processing device, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a computer, partially on a computer, as a stand-alone software package, partially on a computer and partially on a remote computer, or entirely on a remote computer or server.
[0057] In the context of this invention, computer program code or related data may be carried by any suitable carrier to enable a device, apparatus, or processor to perform the various processes and operations described above. Examples of carriers include signals, computer-readable media, and the like. Examples of signals may include electrical, optical, radio, sound, or other forms of propagation signals, such as carrier waves, infrared signals, etc.
[0058] Those skilled in the art will recognize that the units and algorithm steps described in conjunction with the embodiments herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0059] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.
Claims
1. A method of dynamic configuration of wind farm load shedding capacity, characterized in that, The method comprises the following steps: According to the real-time wind speed of each unit, the maximum achievable load shedding capacity of the overspeed control of the wind turbine and the maximum supplementary load shedding capacity of the pitch angle control are dynamically updated, the standby capacity provided by the wind farm only relying on the overspeed control is determined, and the standby capacity provided by the wind farm relying on the overspeed control and the pitch angle control is determined; According to the required standby capacity, the standby capacity provided by the wind farm only relying on the overspeed control and the standby capacity provided by the wind farm relying on the overspeed control and the pitch angle control are compared, the control mode adopted by each unit to meet the required standby capacity is determined, and the load shedding capacity of each unit and the speed reference value and the pitch angle reference value are determined.
2. A wind farm load shedding capacity dynamic configuration method according to claim 1, characterized in that, The determination of the maximum achievable load shedding capacity of the overspeed control is specifically as follows: ; wherein, ω rmax is the safe upper limit of the rotational speed; ρ denotes the air density; R denotes the radius of the fan blade; A denotes the swept area of the fan blade; v denotes the wind speed; ω r denotes the rotational speed of the fan; C pmax denotes the maximum wind energy utilization coefficient; C p denotes the wind energy utilization coefficient.
3. A wind farm load shedding capacity dynamic configuration method according to claim 1, characterized in that, The determination of the maximum supplementary load shedding capacity of the pitch angle control is specifically as follows: ; wherein, ω rmax is the maximum rotational speed safety limit; ρ denotes the air density; R denotes the fan blade radius; A denotes the swept area of the fan blades; v denotes the wind speed; ω r denotes the fan rotational speed; C pmax denotes the maximum wind energy utilization coefficient; C p denotes the wind energy utilization coefficient; β max is the maximum value of the pitch angle.
4. A wind farm load shedding capacity dynamic configuration method according to claim 1, characterized in that, If the required standby capacity is less than the standby capacity provided by the wind farm only relying on the overspeed control, each unit can meet the required standby capacity only relying on the overspeed control, and the size of the load shedding capacity allocated to each unit is as follows: ; wherein, is the required reserve capacity; n 1 indicates the number of units that should be subjected to load shedding control; represents the maximum achievable load shedding capacity of the i-th wind turbine unit subjected to overspeed control.
5. A wind farm load shedding capacity dynamic configuration method according to claim 1, characterized in that, If the required reserve capacity is less than the reserve capacity that the wind farm can provide by relying on overspeed control alone, the pitch angle reference value of each unit β ref = 0°; the speed reference value of each unit ω ref is ; ω ref n1 Solving the equation gives: ; wherein ω ropt Vw is the wind speed v Vt is the optimum tip speed ratio λ opt N is the corresponding rotational speed; A A is the swept area of the wind turbine blades; v Vw is the wind speed; ω r N is the rotational speed of the wind turbine; C pmax Cp is the maximum wind energy utilization coefficient; ρ p is the air density; C p Cp is the wind energy utilization coefficient; n 1 is the number of units for which load reduction control should be applied; R is the required reserve capacity; M is the maximum achievable load reduction capacity for the i-th wind turbine unit under overspeed control.
6. A wind farm load shedding capacity dynamic configuration method according to claim 1, characterized in that, If the required standby capacity is not less than the standby capacity provided by the wind farm only relying on the overspeed control and not greater than the standby capacity provided by the wind farm relying on the overspeed control and the pitch angle control, the size of the load shedding capacity allocated to each unit is as follows: ; wherein n n 2-1) denotes the number of units for which pitch angle control shall be applied; is the required reserve capacity; denotes the maximum achievable load reduction capacity of the i-th wind turbine by overspeed control; is the reserve capacity that can be provided by the wind farm relying on overspeed control only; denotes the maximum supplementary load reduction capacity of the i-th wind turbine by pitch angle control; n is the total number of wind turbines. 7. A wind farm load shedding capacity dynamic configuration method according to claim 1, characterized in that, If the required reserve capacity is not less than the reserve capacity that the wind farm can provide by relying on overspeed control alone, and is not greater than the reserve capacity that the wind farm can provide by relying on overspeed control and pitch angle control, the speed reference value of each unit is ω ref = ω max , the pitch angle reference value of each unit is β ref ; β ref n2 Solving the equation gives: ; wherein, is the reserve capacity available for the wind farm relying on overspeed control only; is the maximum suppliable load shedding capacity of the i-th wind turbine pitch angle control; n is the total number of wind turbines; A is the swept area of the wind turbine blades; v is the wind speed; ω r is the wind turbine speed; C pmax is the maximum wind energy utilization coefficient; ρ is the air density; C p is the wind energy utilization coefficient; n 1 is the number of units that should adopt load shedding control; is the required reserve capacity; ω rmax is the upper limit of the safe speed.
8. A wind farm load shedding capacity dynamic configuration system, characterized in that, The method comprises the following steps: The dynamic updating module is configured to dynamically update the maximum achievable load shedding capacity of the overspeed control of the wind turbine and the maximum supplementary load shedding capacity of the pitch angle control according to the real-time wind speed of each unit, determine the standby capacity provided by the wind farm only relying on the overspeed control, and determine the standby capacity provided by the wind farm relying on the overspeed control and the pitch angle control. The dynamic configuration module is configured to determine the control mode adopted by each unit to meet the required standby capacity according to the required standby capacity, the standby capacity provided by the wind farm only relying on the overspeed control, and the standby capacity provided by the wind farm relying on the overspeed control and the pitch angle control, and further determine the load shedding capacity of each unit, the speed reference value and the pitch angle reference value.
9. An electronic device, comprising: The computer program product comprises a memory and a processor, and computer instructions stored in the memory and running on the processor, and when the computer instructions are run by the processor, the method in any one of claims 1-7 is completed.
10. A computer-readable storage medium, characterized in that, The computer program product is used for storing computer instructions, and when the computer instructions are executed by the processor, the method in any one of claims 1-7 is completed.